Systems and methods for gathering information

ABSTRACT

A method for retrieving information may include receiving a telephone call from a caller and identifying a telephone number from which the telephone call was made. The method may also include retrieving information from a database based on the identified telephone number. The method may further include providing an audible message to the caller to verify whether the retrieved information is correct.

RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.10/900,331, filed Jul. 28, 2004, which is a continuation-in-part of U.S.patent application Ser. No. 10/857,446, filed Jun. 1, 2004, thedisclosures of which are hereby incorporated herein by reference. Thisapplication claims priority under 35 U.S.C. §119 based on U.S.Provisional Application Ser. No. 60/584,123, filed Jul. 1, 2004, thedisclosure of which is also hereby incorporated herein by reference.

FIELD OF THE INVENTION

Implementations consistent with the invention relate generally togathering information and, more particularly, to leveraging existinginformation when servicing requests.

BACKGROUND OF THE INVENTION

Conventional speech recognition systems attempt to convert speech from auser into text that represents the words that were actually spoken bythe user. Such speech recognition systems typically suffer from a numberof problems and are relatively inaccurate. That is, conventional speechrecognition systems are often unable to determine what was spoken,incorrectly determine what was spoken or require significant dialog withthe user in order to determine what was spoken. These problems limit theusefulness of automated systems that utilize speech recognition systems,such as automated systems servicing telephone calls.

SUMMARY OF THE INVENTION

According to one aspect of the invention, a method for retrievinginformation is provided. The method includes receiving a telephone callfrom a caller and identifying a telephone number from which thetelephone call was made. The method also includes retrieving informationfrom a database based on the identified telephone number and providingan audible message to the caller to verify whether the retrievedinformation is correct.

According to another aspect of the invention, a system including areceive device and logic is provided. The receive device is configuredto receive a telephone call from a caller and the logic is configured todetermine a telephone number from which the telephone call was made. Thelogic is also configured to retrieve information from a first databasebased on the telephone number, where the retrieved information includesat least one of an address or a name. The logic is further configured toprovide an audible message to the caller to verify whether the retrievedinformation is correct.

Another aspect of the invention provides a method that includesreceiving a telephone call. The method also includes retrieving firstinformation based on a telephone number from which the telephone callwas placed. The method further includes determining whether the firstinformation is associated with a caller that placed the telephone call.

Still another aspect of the invention provides a method that includesretrieving first information from a first database. The method alsoincludes receiving a voice input from a user and generating a speechrecognition result corresponding to the voice input using the firstinformation.

Other features and advantages of the invention will become readilyapparent to those skilled in this art from the following detaileddescription. The embodiments shown and described provide illustration ofthe best mode contemplated for carrying out the invention. The inventionis capable of modifications in various obvious respects, all withoutdeparting from the invention. Accordingly, the drawings are to beregarded as illustrative in nature, and not as restrictive.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference is made to the attached drawings, wherein elements having thesame reference number designation may represent like elementsthroughout.

FIG. 1 is a block diagram of an exemplary system in which methods andsystems consistent with the invention may be implemented.

FIG. 2 is a block diagram illustrating an exemplary configuration of theserver of FIG. 1 in an implementation consistent with the invention.

FIG. 3 is an exemplary functional block diagram of the speech recognizerof FIG. 1, consistent with the invention.

FIG. 4 is a flow diagram illustrating exemplary processing consistentwith principles of the invention.

DETAILED DESCRIPTION

FIG. 1 is a block diagram of an exemplary system 100 in which methodsand systems consistent with the invention may be implemented. System 100may include network 110, user device 120, server 130 and database 140.The exemplary configuration illustrated in FIG. 1 is provided forsimplicity. It should be understood that a typical system may includemore or fewer devices than illustrated in FIG. 1. In addition, otherdevices that facilitate communications between the various entitiesillustrated in FIG. 1 may also be included in system 100.

Network 110 may include any type of network, such as a local areanetwork (LAN), a wide area network (WAN), a public telephone network(e.g., the public switched telephone network (PSTN)), a wirelessnetwork, a virtual private network (VPN), the Internet, an intranet, ora combination of networks. The connections shown in FIG. 1 may be wired,wireless and/or optical connections.

Network 110 may further include one or more devices, such as a networkgateway, that allow divergent transport networks to communicate andcooperatively carry traffic. The network gateway may also adapt analogor pulse code modulation (PCM) encoded voice signals to a packetizeddata stream suitable for transport over network 110.

User device 120 may include any type of conventional telephone that isused to place and receive telephone calls. For example, user device 120may be a standard telephone, a cordless telephone, a cellular telephoneor any other type of conventional telephone.

User device 120 may also include any type of device that is capable oftransmitting and receiving voice signals to/from a network. For example,user device 120 may include any client device, such as a personalcomputer (PC), a laptop computer, a personal digital assistant (PDA), aweb-based appliance, etc., that is configured to provide telephonefunctions and is able to transmit/receive voice signals via network 110.User device 120 may, for example, be a session initiation protocol(SIP)-based telephone device. In this case, the SIP-based telephonedevice may take the form of a standalone device, e.g., a SIP telephonedesigned and configured to function and appear like a conventionaltelephone. A SIP-based telephone device may also include a softwareclient that may run, for example, on a conventional PC, laptop computeror other computing device.

Server 130 may include any server and/or computing device that is ableto connect to network 110 and transmit and receive information vianetwork 110. Server 130 may also include a telephone device (not shown)that interfaces with network 110 to receive and/or place telephone callsand an automated system that services telephone calls. For example,server 130 may be associated with an entity that services literaturerequests, such as requests for product catalogs, requests for consumeror government-related publications, or requests for any otherinformation. In alternative implementations, server 130 may beassociated with an entity that provides other services. In an exemplaryimplementation consistent with the invention, server 130 may include aspeech recognizer 135 that performs speech recognition, as described inmore detail below.

FIG. 2 illustrates an exemplary configuration of server 130 in animplementation consistent with the invention. Other configurations mayalternatively be used. Server 130 may include a bus 210, a processor220, a memory 230, a read only memory (ROM) 240, a storage device 250,an input device 260, an output device 270, and a communication interface280. Bus 210 permits communication among the components of server 130.

Processor 220 may include any type of conventional processor ormicroprocessor that interprets and executes instructions. Memory 230 mayinclude a random access memory (RAM) or another dynamic storage devicethat stores information and instructions for execution by processor 220.Memory 230 may also be used to store temporary variables or otherintermediate information during execution of instructions by processor220.

ROM 240 may include a conventional ROM device and/or another staticstorage device that stores static information and instructions forprocessor 220. Storage device 250 may include a magnetic disk or opticaldisk and its corresponding drive and/or some other type of magnetic oroptical recording medium and its corresponding drive for storinginformation and instructions.

Input device 260 may include one or more conventional mechanisms thatpermit an operator to input information to server 130, such as akeyboard, a mouse, a pen, voice recognition and/or biometric mechanisms,etc. Output device 270 may include one or more conventional mechanismsthat output information to the operator, including a display, a printer,one or more speakers, etc. Communication interface 280 may include anytransceiver-like mechanism that enables server 130 to communicate withother devices and/or systems. For example, communication interface 280may include a modem or an Ethernet interface to a LAN. Alternatively,communication interface 280 may include other mechanisms forcommunicating via a network.

Server 130, consistent with the invention, may perform processing inresponse to processor 220 executing sequences of instructions containedin memory 230. Such instructions may be read into memory 230 fromanother computer-readable medium, such as storage device 250, or from aseparate device via communication interface 280. It should be understoodthat a computer-readable medium may include one or more memory devicesor carrier waves. Execution of the sequences of instructions containedin memory 230 causes processor 220 to perform the acts that will bedescribed hereafter. In alternative embodiments, hard-wired circuitrymay be used in place of or in combination with software instructions toimplement the invention. Thus, implementations consistent with theinvention are not limited to any specific combination of hardwarecircuitry and software.

Referring back to FIG. 1, database 140 may include one or more memorydevices that store data. In an exemplary implementation, database 140may also include one or more processors, computers and/or servers thatcontrol access to database 140 and facilitate searching of database 140.These processor(s)/computer(s)/server(s) may be configured in a mannersimilar to server 130 illustrated in FIG. 2.

In one implementation, database 140 may store information, such as nameand address information. For example, database 140 may be a directoryassistance database that stores telephone numbers along with names,addresses and other information associated with each respectivetelephone number. In other implementations, database 140 may store otherinformation based on the particular application.

Server 130 and database 140 are illustrated in FIG. 1 as being connectedvia network 110. In alternative implementations, server 130 and database140 may be connected directly to each other, connected via a networkseparate from network 110, such as a private network, etc. In stillother alternative implementations, the functions performed by server 130and database 140, described in more detail below, may be performed by asingle device/platform.

FIG. 3 is an exemplary functional block diagram of speech recognizer135, according to an implementation consistent with the invention. Thelogical blocks illustrated in FIG. 3 may be implemented in software,hardware, or a combination of hardware and software. Speech recognizer135 is illustrated in FIG. 1 as being implemented in server 130. Itshould be understood that speech recognizer 135 may be locatedexternally from server 130 in other implementations.

Speech recognizer 135 may include a front end 310, a speech processingmodule 320 and a rules database 330. Front end 310 may include anautomatic number identification (ANI) system that determines thetelephone number associated with an incoming call. For example, frontend 310 may receive an incoming call from user device 120 and determinethe caller's telephone number upon call set-up. Front end 310 may alsoforward the caller's telephone number to database 140, where thecaller's telephone number is used as an index to determine the caller'sname and/or address.

Front end 310 may also access other databases (not shown) to retrieveadditional information associated with the caller. In each case, theretrieved information may be forwarded to front end 310. Front end 310may receive the retrieved information from database 140 and/or otherdatabases and may use this information to assist in the gathering ofinformation from the caller at user device 120.

Speech processing module 320 may perform speech recognition on voicedata input from a caller. Speech processing module 320 may perform thespeech recognition in accordance with rules or grammars stored in rulesdatabase 330.

Rules database 330 may store a number of rules or grammars associatedwith performing speech recognition. For example, a grammar may define aparticular rule with respect to performing speech recognition. In animplementation consistent with the invention, the grammars stored inrules database 330 may be customized based on constraints associatedwith the subject of the speech recognition process.

Front end 310, as described above, may identify a telephone number of acaller using an ANI system. Front end 310 may also forward the caller'stelephone number to, for example, database 140 to identify additionalinformation associated with the caller. Database 140 may forward theadditional information to front end 310. This information may enableserver 130 to more efficiently assist callers, as described in moredetail below.

FIG. 4 is a flow diagram illustrating exemplary processing consistentwith principles of the invention. Processing may begin with a callerestablishing communications with server 130 via user device 120. Forexample, a caller at user device 120 may dial a telephone numberassociated with server 130 or enter an Internet address associated withserver 130. Server 130, as described above, may include a telephonedevice (not shown) that is able to receive telephone calls.Alternatively, a telephone device not associated with server 130 mayreceive the call and forward the call to server 130.

Front end 310 may also identify a telephone number of the caller usingan ANI system (act 410). For example, an ANI system associated withserver 130 may provide the caller's telephone number to server 130 uponcall set-up.

Front end 310 may also provide an automated greeting to the caller atuser device 120. For example, front end 310 may provide a greeting, suchas “You have reached Company X, if you wish to receive a copy of ourcatalog at your home address, press 1.” Alternatively, front end 310 mayprovide a menu of options and request that the caller voice a selection.In this case, speech processing module 320 may determine the caller'sselection. In still other alternatives, front end 310 may bypass thisinitial greeting until additional information has been gatheredregarding the caller.

Front end 310, as discussed above, may also forward the caller'stelephone number to database 140 to attempt to identify informationassociated with the caller (act 420). Database 140 may receive thecaller's telephone number and use the caller's telephone number as anindex to search database 140.

For example, as discussed above, assume that database 140 is a directoryassistance database that stores telephone numbers along with names andaddresses corresponding to the telephone numbers. In this case, database140 may retrieve a name and an address associated with the caller'stelephone number (act 420). Database 140 may return the results of thesearch, such as the name and address, to front end 310. Front end 310may receive the information from database 140 and may use thisinformation to assist in servicing the telephone call from the caller atuser device 120.

For example, a text-to-speech converter included in or accessible byfront end 310 may provide a voice greeting to the caller that includesthe retrieved information (act 430). For example, the voice greeting maybe, “Hello, You have reached the catalog request line for Company X. Isthis Mr. Smith from 123 Main Street?” The caller may then answer yes orno. Alternatively, a human operator may voice the retrieved informationto the caller to verify that the retrieved information is the correctinformation for that particular caller.

Speech recognizer 135 or the human operator may then determine whetherthe information voiced to the caller is correct (act 440). For example,speech recognizer 135 may determine whether the caller answered yes orno using speech processing module 320 and rules database 330. If thecaller answered in the affirmative indicating that the name and addressvoiced to the caller are correct, front end 310 may provide anothervoice message to the caller confirming that the catalog will be sent tothe caller (act 450). For example, front end 310 may provide a message,such as, “Mr. Smith, we will send you the requested catalog to your homeaddress.”

In the event that the caller answers that the name and address voiced tothe caller are not correct, front end 310 may prompt the caller foradditional information (act 460). For example, front end 310 may promptthe caller for his/her home telephone number by requesting that thecaller either voice the telephone number or enter the telephone numbervia a keypad. If the caller voices the telephone number, speechprocessing module 320 may determine what the caller said and front end310 may confirm with the caller the telephone number he/she voiced.

Processing may then return to act 420. That is, front end 310 mayforward the caller's home telephone number to database 140 to retrievethe caller's name and home address. Front end 310 may then confirmwhether the retrieved information associated with the caller is correct(acts 430 and 440). In some implementations consistent with theinvention, the caller may be prompted to provide his/her home telephonenumber prior to the first search of database 140, such as upon theinitial greeting. This may help server 130 avoid searching database 140more than once, such as in situations where the caller is not placingthe call from his/her home telephone.

After receiving confirmation that the voiced name and/or address arecorrect, server 130 may perform the desired service associated with thetelephone call (act 470). For instance, in the example above, server 130and/or a party affiliated with server 130 may send the desired productcatalog to the caller at his/her home address.

In some implementations consistent with the invention, once front end310 has received confirmation that the retrieved information is correct,front end 310 may engage the caller with additional questions based onthe particular application. For example, if server 130 providesinformation to callers on more than one topic, front end 310 may providea menu of selections associated with each particular topic and have thecaller either voice a selection or press a number on a telephone keypad.Speech processing module 320 may then be used to determine the user'sresponse using rules database 330 to facilitate the speech recognitionprocess.

In addition, in some implementations consistent with the invention,speech processing module 320 may use the retrieved information as an aidwhen performing speech recognition. For example, some of the informationretrieved from database 140 may be information that a caller may berequired to voice, such as his/her name and/or address. In this case,speech processing module 320 may use the retrieved information to weightpotential results of the speech recognition process.

For example, assume that front end 310 requests that the caller voicehis/her name and address. Further assume that speech processing module320 is having a difficult time determining whether the caller voiced 70Main Street or 17 Main Street. In this case, if front end 310 hasretrieved 70 Main Street from database 140 as the caller's likelyaddress, speech processing module 320 may determine that the most likelyvoice input is 70 Main Street and may weight that result accordingly.Front end 310 may then verify that the caller's address is 70 MainStreet.

In other instances, the retrieved information may be used to verify thatthe caller is who he/she claims to be. For example, the retrievedinformation may include a date of birth, a personal identificationnumber (PIN), or other information known to the caller. In each case,speech processing module 320 may use the retrieved information as an aidin performing speech recognition on voice input from the caller, therebyyielding more accurate speech recognition results.

In another implementation consistent with the invention, once a caller'sname and address have been verified, server 130 may use this informationto retrieve additional information regarding the caller. For example, ina commercial application, such as an application involving a retailer,front end 310 may retrieve information regarding the caller's account.In this case, if the caller wishes to retrieve information regardinghis/her account, the caller may voice the request. Speech processingmodule 320 may then use the retrieved information regarding the caller'saccount to help determine the caller's request. For example, if thecaller is requesting the status of an order or wishes to determine anoutstanding balance for a bill, speech processing module 320 maydetermine that the most likely voice input is associated with theretrieved information for that caller and may weight what was voicedusing the retrieved information as an aid.

As another example, assume that the application executed by server 130involves allowing the caller to purchase a product. In this case, frontend 310 may automatically access a credit bureau's database using thecaller's name and/or address to determine whether the caller has a goodcredit history. If the credit history is not good, server 130 mayrequire that the caller purchase the product using a credit card asopposed to being billed at a later time.

CONCLUSION

Systems and methods consistent with the invention provide an enhancedprocess for servicing requests by leverage existing content. This allowsfor faster processing of the requests and streamlines any dialog thatmay be needed when servicing the requests. In addition, aspectsconsistent with the invention may also leverage existing data tofacilitate a speech recognition process to further streamline processingof the requests.

In this disclosure, there is shown and described only the preferredembodiments of the invention, but, as aforementioned, it is to beunderstood that the invention is capable of use in various othercombinations and environments and is capable of changes or modificationswithin the scope of the inventive concept as expressed herein.

For example, implementations consistent with the principles of theinvention have been described mainly with the example of retrieving nameand address information based on an identified telephone number from acaller. It should be understood that implementations consistent with theprinciples of the invention may retrieve information from any existingdatabase based on the particular application and leverage the retrievedinformation to provide the desired service. For example, implementationsconsistent with principles of the invention may retrieve informationassociated with motor vehicles and may allow a caller to, for example,renew his/her vehicle registration over the telephone, request anaddress change, etc. Other implementations may retrieve a caller'sbanking information to facilitate various banking functions, retrievecredit card related information to facilitate credit card relatedfunctions, etc. In each case, the retrieved information may be used tostreamline processing associated with servicing the particular request.It should also be understood that implementations consistent withprinciples of the invention may not involve servicing requests made viatelephone, but may involve any system that leverages existing data toservice a request.

Lastly, a series of acts has been described with respect to FIG. 4. Theorder of the acts may be varied in other implementations consistent withthe invention. Moreover, non-dependent acts may be performed inparallel. Further, the invention is not limited to any specificcombination of hardware circuitry and/or software.

No element, act, or instruction used in the description of the inventionshould be construed as critical or essential to the invention unlessexplicitly described as such. Also, as used herein, the article “a” isintended to include one or more items. Where only one item is intended,the term “one” or similar language is used. Further, the phrase “basedon,” as used herein is intended to mean “based, at least in part, on”unless explicitly stated otherwise.

The scope of the invention is defined by the claims and theirequivalents.

What is claimed is:
 1. A device comprising: a memory to store instructions; and a processor to execute the instructions to: retrieve information, from the memory, based on a telephone number associated with a call, the information being retrieved independent of information obtained from querying a user associated with the call, and the telephone number being identified independent of the information obtained from querying the user, provide, to the user, a portion of the retrieved information, receive an input from the user based on providing the portion of the retrieved information, determine, based on the received input, whether the portion of the retrieved information is correct, cause an action, associated with the call, to be performed when the portion of the retrieved information is correct, prompt the user for additional information when the portion of the retrieved information is not correct, the additional information including a different telephone number associated with the user, receive the additional information, including the different telephone number, from the user after prompting the user, retrieve other information, from the memory, based on the additional information that includes the different telephone number, provide, to the user, a portion of the retrieved other information, receive another input from the user based on providing the portion of the retrieved other information, and cause the action to be performed when the other input indicates that the portion of the retrieved other information is correct.
 2. The device of claim 1, where the processor is further to: request information from the user when the portion of the retrieved information is correct, receive additional input from the user based on requesting the information, obtain a speech recognition result based on the received additional input, and provide information to the user based on the obtained speech recognition result.
 3. The device of claim 1, where the processor is further to: obtain a speech recognition result based on additional input received from the user, compare the obtained speech recognition result with another portion of the retrieved information, where the other portion of the retrieved information includes identification information associated with the user, and verify the identification information associated with the user after comparing the obtained speech recognition result with the other portion of the retrieved information.
 4. The device of claim 1, where, when causing the action to be performed, the processor is further to: retrieve, based on the portion of the information, additional information as retrieved additional information when the portion of the retrieved information is correct, and provide a portion of the retrieved additional information to the user.
 5. The device of claim 4, where the processor is further to: receive additional input from the user when the retrieved additional information is retrieved, and obtain a speech recognition result based on the additional input, where the portion of the retrieved additional information is provided to the user based on the obtained speech recognition result.
 6. The device of claim 1, where the processor is further to: receive additional input from the user, generate a plurality of speech recognition results based on the additional input, and weight each of the plurality of speech recognition results, based on a match between a second portion of the retrieved information and a respective one of the plurality of speech recognition results, to obtain a weight of each of the plurality of speech recognition results.
 7. The device of claim 6, where the processor is further to: determine that the additional input corresponds to a particular speech recognition result, of the plurality of speech recognition results, based on the weight of the particular speech recognition result, verify, based on the particular speech recognition result, that the second portion of the retrieved information is correct, and cause another action associated with the call to be performed when the second portion of the retrieved information is correct.
 8. The device of claim 1, where, when causing the action to be performed, the processor is further to: receive information from the user; and cause the retrieved information to be updated based on the received information.
 9. The device of claim 1, where the processor is further to: receive particular information from the user; and cause the retrieved information to be updated based on the received particular information.
 10. A method comprising: retrieving, by a device and from a memory, information based on a telephone number associated with a call, the information being retrieved independent of information obtained from querying a user associated with the call, the telephone number being identified independent of the information obtained from querying the user; providing, by the device and to the user, a portion of the retrieved information; receiving, by the device, an input from the user based on providing the portion of the retrieved information; determining, by the device and based on the received input, whether the portion of the retrieved information is accurate; performing, by the device, an action associated with the call when the portion of the retrieved information is accurate; prompting, by the device, the user for additional information when the portion of the retrieved information is not accurate; the additional information including a different telephone number associated with the user, receiving, by the device and from the user after prompting the user, the additional information including the different telephone number; retrieving, by the device and from the memory, other information based on the additional information that includes the different telephone number; providing, by the device and to the user, a portion of the retrieved other information; receiving, by the device, another input from the user based on providing the portion of the retrieved other information; and performing, by the device, the action when the other input indicates that the portion of the retrieved other information is accurate.
 11. The method of claim 10, further comprising: receiving the call, where retrieving the information includes: retrieving the information based only on the telephone number associated with the call.
 12. The method of claim 10, further comprising: retrieving additional information; receiving additional input from the user; obtaining a plurality of speech recognition results based on the received additional input; and providing a portion of the retrieved additional information to the user based on a particular speech recognition result of the plurality of speech recognition results.
 13. The method of claim 12, further comprising: weighting each of the plurality of speech recognition results, based on the portion of the retrieved additional information, to obtain a weight of each of the plurality of speech recognition results; and determining that the additional input corresponds to the particular speech recognition result based on the weight of the particular speech recognition result, where providing the portion of the retrieved additional information includes: providing the portion of the retrieved additional information to the user after determining that the additional input corresponds to the particular speech recognition result.
 14. The method of claim 10, further comprising: determining that the portion of the retrieved information is not accurate, where retrieving the other information includes: retrieving the other information using the different telephone number.
 15. The method of claim 10, further comprising: receiving information from the user when the portion of the retrieved information is accurate, where performing the action includes: updating the retrieved information based on the information received from the user.
 16. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions which, when executed by a device, cause the device to search a memory based only on a telephone number associated with a call, the telephone number being identified independent of information obtained from querying a user associated with the call; one or more instructions which, when executed by the device, cause the device to retrieve information based on a result of searching the memory based only on the telephone number; one or more instructions which, when executed by the device, cause the device to provide, to the user, a portion of the retrieved information; one or more instructions which, when executed by the device, cause the device to receive an input from the user based on providing the portion of the retrieved information; one or more instructions which, when executed by the device, cause the device to determine, based on the received input, whether the portion of the retrieved information is accurate; one or more instructions which, when executed by the device, cause the device to cause an action associated with the call to be performed when the portion of the retrieved information is accurate; one or more instructions which, when executed by the device, cause the device to prompt the user for a different telephone number associated with the user when the portion of the retrieved information is not accurate; one or more instructions which, when executed by the device, cause the device to receive the different telephone number from the user after prompting the user; one or more instructions which, when executed by the device, cause the device to retrieve other information, from the memory, based on the different telephone number; one or more instructions which, when executed by the device, cause the device to provide, to the user, a portion of the retrieved other information; one or more instructions which, when executed by the device, cause the device to receive another input from the user based on providing the portion of the retrieved other information; and one or more instructions which, when executed by the device, cause the device to cause the action to be performed when the other input indicates that the portion of the retrieved other information is accurate.
 17. The non-transitory computer-readable medium of claim 16, the instructions further comprising: one or more instructions which, when executed by the device, cause the device to prompt the user for information when searching the memory does not return a result; one or more instructions which, when executed by the device, cause the device to receive information from the user based on prompting the user, where the received information includes identification information associated with the user; and one or more instructions which, when executed by the device, cause the device to search the memory based on the received information to obtain information relating to the user.
 18. The non-transitory computer-readable medium of claim 16, where the one or more instructions to cause the action to be performed include: one or more instructions which, when executed by the device, cause the device to retrieve, based on the portion of the information, additional information when the portion of the retrieved information is accurate; and one or more instructions which, when executed by the device, cause the device to provide a portion of the additional information to the user.
 19. The non-transitory computer-readable medium of claim 16, the instructions further comprising: one or more instructions which, when executed by the device, cause the device to retrieve additional information; one or more instructions which, when executed by the device, cause the device to obtain a plurality of speech recognition results based on additional input from the user; one or more instructions which, when executed by the device, cause the device to weight each of the plurality of speech recognition results, based on a match between the additional information and a respective one of the plurality of speech recognition results, to obtain a weight of each of the plurality of speech recognition results; and one or more instructions which, when executed by the device, cause the device to determine that the additional input corresponds to a particular speech recognition result, of the plurality of speech recognition results, based on the weight of the particular speech recognition result.
 20. The non-transitory computer-readable medium of claim 16, where the one or more instructions to cause the action to be performed include: one or more instructions which, when executed by the device, cause the device to receive additional information from the user; and one or more instructions which, when executed by the device, cause the device to cause the retrieved information to be updated based on the received additional information. 